87 citations · 306 across the 31 of their papers we have counts for
16 papers · 1 filter
Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach
Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith
Tensioned cable nets can be used as supporting structures for the efficient construction of lightweight building elements, such as thin concrete shell structures. To guarantee impo…
On Low-Rank Hankel Matrix Denoising
Mingzhou Yin, Roy S. Smith
The low-complexity assumption in linear systems can often be expressed as rank deficiency in data matrices with generalized Hankel structure. This makes it possible to denoise the…
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems
Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher +1
This paper proposes a novel method for distributed controller synthesis of homogeneous interconnected systems consisting of identical subsystems. The objective of the designed cont…
Experiment design for impulse response identification with signal matrix models
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
This paper formulates an input design approach for truncated infinite impulse response identification in the context of implicit model representations recently used as basis for da…
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
The paper presents a data-driven predictive control framework based on an implicit input-output mapping derived directly from the signal matrix of collected data. This signal matri…
Maximum Likelihood Estimation in Data-Driven Modeling and Control
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Recently, various algorithms for data-driven simulation and control have been proposed based on the Willems' fundamental lemma. However, when collected data are noisy, these method…